李肯立
我的位置在: 首页 > 学院概况 > 师资力量 > 李肯立
教师介绍

无照片

李肯立
李肯立,信息科学与工程学院院长,国家超级计算长沙中心主任,教育部长江学者特聘教授、国家杰出青年科学基金获得者、中组部万人计划科技创新领军人才。教育部高效能计算学科创新引智基地负责人、数据分析湖南省工程技术研究中心主任。担任国家超级计算创新联盟副理事长、新一代人工智能产业技术创新联盟专家委员会委员、IEEE高级会员、CCF杰出会员、CCF高性能计算专业委员会常务委员、湖南省计算机学会秘书长等学术兼职,IEEE-TC编委,IEEE-TII、JCSS、NEURO、C&F、IJPP、CCPE等特刊编委。作为项目负责人主持国家重点研发计划项目、国家自然科学基金重点项目、国家自然科学基金国际合作与交流重点项目等国家和省部级项目34项。以排名第一获得湖南省技术发明一等奖、湖南省科技进步一等奖、湖南省自然科学奖二等奖和教育部科技进步二等奖等。主要研究领域为并行分布式处理、超级计算与云计算、面向大数据和人工智能的高效能计算等。在IEEE-TC、IEEE-TPDS、IEEE-TCC、IEEE-TSP、IEEE-TSC、IEEE-TKDE、VLDBJ、AAAI、ICPP、CIKM、ICDCS、中国科学、计算机学报、软件学报等国内外高水平计算机学术刊物上发表论文250余篇,其中SCI(E)收录近200篇。获授权专利和软件著作权共9项。
中文名: 李肯立
英文名:
学历: 博士
职称: 教授
所属机构:  计算机科学系  学院领导
联系方式

    CONTACT INFORMATION

    l Email: lkl@hnu.edu.cnlkl510@263.net

    l Office Tel: +86-0731-88664161Mobile+86-13036781568

    l Fax: +86-0731-88664161

    l Mailing address and zip code: College of Information Science and Engineering, National  Supercomputing Center in Changsha, Hunan University, Changsha, Hunan Province, P. R. China, 410082

基本情况
  • NATIONALITY

    l People’s Republic of China

    Professional Title

    l Ph.D.

    l Cheung Kong Professor

    l Doctoral Supervisor

    DUTY

    l Director of National Supercomputing Center in Changsha, Hunan, Changsha

    l Dean of College of Information Science and Engineering in Hunan University

    l Senior Member of the IEEE, Senior Menber of the IEEE-TCDP

    l Deputy President of the Supercomputing Innovation Allication

    l Distinguished Member of the China Computer Federation (CCF)

    l Member of the Technical Committee of High Performance Computing of the CCF

    l Executive Member of Mathematical Software Branch of China Software Industry Association

    l Secretary-general of the Hunan Provincial Computer Federation

    l Vice Chair of Changsha Branch of the CCF

    l Chair of Young Computer Scientists and Engineers Forum (YOCSEF) of the CCF (2011-2012)

    RESEARCH INTERESTS

    l Parallel and Distributed Processing

    l Cloud Computing and Supercomputing

    l Big Data Management

    l Artificial Intelligence

    l Scheduling Algorithms

    l Biological Computing

    l Computer Simulation

    l Seismic Data Processing and Visualization

    EDUCATION

    l  Ph.D., Computer Software and Theory, Huazhong Universityof Science and Technology, China, November 2003

    WORK EXPERIENCE

    l Professor: July 2007-, College of Information Science and Engineering, Hunan University, P. R. China

    l Doctoral Supervisor: September 2008-, College of Information Science and Engineering, Hunan University, P. R. China

    l Visiting Scholar: July 2004-June 2005, University of Illinois at Champaign-Urbana, National Center for Supercomputer Applications, Champaign-Urbana, USA

    l Associate Professor: July 2004-June 2007, College of Computer and Communication, Hunan University, P. R. China

    l Lecturer: November 2003-June 2004, College of Computer and Communication, Hunan University, P. R. China

  • ORGANIZING INTERNATIONAL CONFERENCE 

  • l Served as Program Chair of the 2019 High Performance Computing and Communications (HPCC 2019), Zhangjiajie, China

  • l Served as Publication Chair of the 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNCFSKD 2016), Changsha, China

  • l Served as General Chair of the 11th International Conference on Natural Computation (ICNC 2015)/the 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2015), Zhangjiajie, China 

  • l Served as Program Chair of the 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015), Zhangjiajie, China

  • l Served as Publicity Chair of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015), Shenzhen, China

  • l Served as Vice Chair of the 25th International Conference on Parallel Computational Fluid  Dynamics (ParCFD 2013), ChangshaChina 

  • l Served as Vice Chair of the National High Performance Computing Annual Conference (HPC-China 2012),   Zhangjiajie, China

  • l Served as Chair of the 6th International Conference on Bio-Inspired Computing: Theories and   Applications (BIC-TA 2011), ChangshaChina

  • l Served as Member of Program Committee of ICPP 2014, NPC2015, PAAP 2014, PAAP 2013, etc.

  • HONORS AND AWARDS

  • l The First Award of Technological Invention Award of Hunan Province, the prime principal of this project

  • l The First Award of Science and Technology Development of Hunan Province, the prime principal of this project

  • l The Second Award of Natural science of Hunan Province, the prime principal of this project

  • l The Second Award for Science & Technology Development/Achievement of the Ministry of Education, the prime principal of this project

  • RECENT PROFESSIONAL ACTIVITIES

  • l The Principal Guest Editor of the special issue of International Journal of Fuzzy Systems, 2018.10

  • l The Principal Guest Editor of the special issue of  Neurocomputing, 2017.12

  • l The Principal Guest Editor of the special issue of Journal of Computer and System Sciences, 2016.12

  • l The Principal Guest Editor of the special issue of International Journal of Pattern Recognition and Artificial Intelligence, 2015.12

  • l The Principal Guest Editor of the special issue of Concurrency and Computation-Practice & Experience, 2015.12

  • l The Principal Guest Editor of the special issue of Elsevier journal of Computers and Fluids, 2014.12

  • l The Principal Guest Editor of the special issue of Elsevier Procedia Engineering, 2013.5

  • l The Principal Guest Editor of the special issue of Springer Communications in Computer and Information Science, 2012.11

  • l Reviewers of more than 30 famous journals, including IEEE Trans. on Computers, IEEE Trans. on Parallel and Distributed Systems, IEEE Trans. on Nanobioscience, IEEE Trans. on Cloud Computing, IEEE Trans. on Emerging Topics in Computing, ACM Trans. on Embedded Computing Systems, Information Sciences, Journal of Parallel and Distributed Computing, The Journal of SuperComputing, Parallel Computing, Future Generation ComputerSystems, The Journal of Grid computing, Frontiers of Computer Science et al.

  • SELECTED PUBLICATIONS

    Published more than 250 technical papers in the above areas, including more than 70 top journals and conferences, such as IEEE-TC, IEEE-TPDS, IEEE-TSP, IEEE-TETC, IEEE-TCS, IEEE-TKDE, VLDBJ, AAAI, ICPP, ICDCS, CIKM, ICDM, etc., where more than 190 papers are cited by SCI-E and 50 papers are cited by EI or ISTP.


学生培养
  • COURSES TAUGHT

  • l High Performance Computing and Cloud Computing (Ph.D students course)

  • l Parallel Processing (Ph.D students course)

  • l Introduction to the Theory of Computation (Master students course)

  • l Design and Analysis of Computer Algorithms(Undergraduate students course)

  • l Fundamentals of Compiling (Undergraduate students course)

  • STUDENTS SUPERVISED

  • l Current Ph.D. students: 9

  •     2018: 李扬帆; 罗文晟

  •     2017: 彭继武; 刘晓伟

  •     2016: 汤超; 李昊

  •     2015: 李闯; 陈岑

  •     2014: 费雄伟

  • l Graduated Ph.D. students: 24

  •     2014: 肖国庆; 吴志强; NKUNZIMANA HILAIRE

  •     2013: 阳王东; LE ANH DUC; 刘楚波; 潘果

  •     2012: 周旭; 李大普; 叶钰; 梅晶; 王艳

  •     2011: 郑伟华; 徐雨明; 余思洋; 刘静

  •     2010: 张龙信; 童钊; 朱香元; Ahmed Salah Mohamed

  •     2009: 唐小勇; 吴帆; Tung Khac Truong

  •     2008: 石林   

  • l Current M.Sc. students: 20 (2018: 9; 2017: 8; 2016: 3)

  • l Graduated M.Sc. students: 72 (2015: 8; 2014: 9; 2013: 15; 2012: 5; 2011: 10; 2010: 5; 2009: 6; 2008: 7; 2007: 7)

  • AWARDS OFSTUDENTS SUPERVISED

  • l In 2018, a PhD student was awarded Chancellor's Scholarship and two PhD students were awarded National Scholarship

  • l In 2017, two PhD student were awarded Chancellor's Scholarship and a PhD student was awarded National Scholarship

  • l In 2016, two PhD students were awarded Chancellor's Scholarship and two PhD students were awarded National Scholarship

  • l In 2015, two PhD students were awarded Chancellor's Scholarship and two PhD students were    awarded National Scholarship

  • l In 2014, a PhD student was awarded Chancellor's Scholarship, three PhD students and one master student were awarded National Scholarship

  • l In 2013, a PhD student was awarded Chancellor's Scholarship and four PhD students were   awarded National Scholarship

  • l In 2012, a PhD student was awarded National Scholarship

  • l In 2009, a master's thesis was evaluated as Model Master Thesis of Hunan Province

科研状况
  • RESEARCH FUNDINGS, PI

  • l International (Regional) Cooperation and Exchange Program of National Natural Science Foundation of China (Grant NO.: 61860206011), Title: The Parallel Algorithm and Its Application for Artificial Intelligence Oriented Large-scaleTensor, 2,450,000 RMB, 2019.1-2023.12

  • l National Key R&D Program of China (Grant NO.: 2018YFB0203800), Title: Research on the Servitization Model and Architecture of High Performance Computing, 9,070,000 RMB, 2018.6-2020.12

  • l National Natural Science Foundation of China (Grant NO.: 61751204), Title: Heterogeneous Parallel Processing Methods and Platforms for Large-scale Multimodal Machine Learning, 2,200,000 RMB, 2018.1-2020.12

  • l National Distguinshed Youth Scholar Foundation of China (Grant NO.: 61625202), Title: High Efficient Computation, 4,000,000 RMB, 2017.1-2021.12

  • l National Natural Science Foundation of China (Grant NO.: 61472124 ), Title: Higher Order Sparse Matrix Vector Multiplication Scalable Heterogeneous Parallel Algorithm and Its Application in Electromagnetic Computation, 850,000 RMB, 2015.1-2018.12

  • l The State of International Science and Technology Cooperation Projects, Title: The Management of the Cloud System Based on Heterogeneous Supercomputer, 3,000,000 RMB, 2015.1-2017.12

  • l The Key Project of National Natural ScienceFoundation of China (Grant No.: 61133005), Title: Efficient Scheduling Theory and Methods of Large-scale Heterogeneous Parallel Systems, 2,800,000 RMB, 2012.1-2016.12.

  • l Subproject under the National Science and Technology Support Program (Grant No.: 2012BAH09B02), Title: Development of Key Technologyfor Resource Center on Super Computing and Cloud Computing and Its Demonstration of Typical Applications, 2,400,000 RMB, 2012.1-2014.12.

  • l Youth Foundation of Hunan Scientific Committee (Grant No.: 12JJ1011), Title: Efficient Scheduling Algorithms on Large-scale Heterogeneous Parallel Systems, 300,000 RMB, 2012.1-2014.12.

  • l National Natural Science Foundation of China (General Program Grant No.: 61070057), Title: Stochastic Scheduling Algorithms on Heterogeneous Multi-core Parallel Systems, 330,000 RMB, 2011.01 -2013.12.

  • l Program for New Century Excellent Talents in University (Grant No.: NCET-08-0177), Title: Parallel Schedule Strategy for Applications in Seismic Data Processing Based on Credibility,  500,000 RMB, 2009.01- 2012.12.

  • l Supported by the Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China (Grant No.: 708066), Title: A Key Technology Research for Earthquake Monitoring and Early Warning Grid System, 2009.01-2012.12, with Prof. Vania.

  • l Fund Committee “Dynamic catastrophe of critical engineering” Key (Key grant) research programs fostering projects (Grant No.: 90715029), Title: Critical Theory and Technology Research for Earthquake Simulation Support System in Grid Environment, 500,000 RMB, 2008.01-2010.12.

  • l Youth Fund of National Natural Science Foundation (Grant No.: 60603053), Title:The Research and Exploration of An Extensible DNA Computing Model, 250,000 RMB, 2007.01- 2009.12.

学术论文

一、IEEE/ACM Transactions论文

2019

[1] Chubo Liu, Kenli Li*, Junyan Hu, and Keqin Li. A randomized algorithm with controlled approximationfor optimizing server configuration while guaranteeing time-varying resourcerequirements. IEEE Transactions onSustainable Computing, forthcoming.

[2] Chubo Liu, Kenli Li*, Jie Liang, and Keqin Li. COOPER-SCHED:A Cooperative Scheduling Framework for Mobile Edge Computing with ExpectedDeadline Guarantee. IEEE Transactions onParallel and Distributed Systems, forthcoming

[3] Jianguo Chen, Kenli Li*, and Keqin Li. DistributedDeep Learning Model for Intelligent Video Surveillance Systems with EdgeComputing. IEEE Transactions onIndustrial Informatics, forthcoming

[4] Hao Li, Kenli Li*, Jiyao An, and Keqin Li. An Online and Scalable Model for Generalized Sparse Non-negative MatrixFactorization in Industrial Applications on Multi-GPU. IEEE Transactions on Industrial Informatics, in press

[5] Lin Xiao, Kenli Li*, and Mingxing Duan. ComputingTime-Varying Quadratic Optimization with Finite-Time Convergence and NoiseTolerance: A Unified Framework for Zeroing Neural Network. IEEE Transactions on Neural Networks and Learning Systems, in press

[6] Lin Xiao, Shuai Li, Kenli Li*, Long Jin, and Bolin Liao.Co-Design of Finite-Time Convergence and Noise Suppression: A Unified Neural Model for Time Varying Linear Equations With Robotic Applications. IEEE Transactions on Systems, Man, andCybernetics: Systems, in press

[7] Xu Zhou, Kenli Li*, Zhibang Yang, and Keqin Li.Finding optimal skyline product combinations under price promotion. IEEE Transactions on Knowledge and DataEngineering, 2019, 31(1): 138-151

[8] Jing Mei, Kenli Li*, ZhaoTong, Qiang Li, Keqin Li. Profit Maximization for Cloud Brokers in CloudComputing. IEEE Transactions on Paralleland Distributed Systems, 2019, 30(1): 190-203

2018

[9] Guoqing Xiao, Kenli Li*, Yuedan Chen, Wangquan He, AlbertY. Zomaya, and Tao Li. CASpMV: A Customized and Accelerative SpMV Framework forthe Sunway TaihuLight. IEEE Transactions on Parallel and Distributed Systems, forthcoming

[10] Chubo Liu, Kenli Li*, Jie Liang, and Keqin Li. COOPER-MATCH: Joboffloading with a cooperative game for guaranteeing strict deadlines in MEC. IEEE Transactions on Mobile Computing, forthcoming

[11] Junyan Hu, Kenli Li*, Chubo Liu, Jianguo Chen, andKeqin Li. Coalition formation for deadline-constrained resource procurement incloud computing. IEEE Transactions on Cloud Computing, forthcoming

[12] Chubo Liu, Kenli Li*, Jie Liang, and Keqin Li. Service reliability in an HC: considering from the perspective of schedulingwith load-dependent machine reliability. IEEE Transactions on Reliability, forthcoming

[13] Chubo Liu, Kenli Li*, Keqin Li, and Rajkumar Buyya. Anew service mechanism for profit maximization of a cloud provider and its users. IEEE Transactions on Cloud Computing, forthcoming

[14] Wangdong Yang, Kenli Li*, and Keqin Li. A pipelinecomputing method of SpTV for three-order tensor on CPU and GPU. ACM Transactions on Knowledge Discovery from Data, forthcoming

[15] Xu Zhou, Kenli Li*, Zhibang Yang, Jing Mei, and Keqin Li. Efficient and progressive approaches to k representative G-skylinequeries. IEEE Transactions on Knowledge and Data Engineering, forthcoming

[16] Jianguo Chen, Kenli Li*, Kashif Bilal, Keqin Li, and Philip S. Yu. A bi-layered parallel training architecture for large-scaleconvolutional neural networks in distributed computing environments. IEEE Transactions on Parallel and Distributed Systems, forthcoming

[17] Zhuo Tang, Wei Lv, Kenli Li, and Keqin Li. An intermediate data partition algorithmfor skew mitigation in Spark computing environment. IEEE Transactions on Cloud Computing, in press, DOI:10.1109/TCC.2018.2878838

[18] Xiaoyu Zhang, Xiangke Liao, Hao Zhu, Kenli Li, Benyun Shi, and Shaoliang Peng. COPCOP: A Novel Algorithm and Parallel OptimizationFramework for Co-Evolutionary Domain Detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics,in press (Google被引0, 他引0; SCI被引0, 他引0) DOI: 10.1109/TCBB.2018.2878701

[19] Yuedan Chen, Kenli Li*, Wangdong Yang, Guoqing Xiao, Xianghui Xie, and Tao Li. Performance-Aware Model for Sparse Matrix-MatrixMultiplication on the Sunway TaihuLight Supercomputer. IEEE Transactions on Parallel and Distributed Systems, in press, DOI:10.1109/TPDS.2018.2871189

[20] Xu Zhou, Kenli Li*, Zhibang Yang, Guoqing Xiao, and Keqin Li. Progressive approaches for Pareto optimal groups computation. IEEE Transactions on Knowledge and Data Engineering, in press, DOI:10.1109/TKDE.2018.2837117

[21] Ronghui Cao, Kenli Li*, Zhuo Tang, and Keqin Li.HMGOWM: A hybrid decision mechanism for automating migration of virtualmachines. IEEE Transactions on Services Computing, in press, DOI: 10.1109/TSC.2018.2873694

[22] Huailiang Tan, Yanjie Tan, Xiaofei He, Kenli Li, and Keqin Li. AVirtual Multi-Channel GPU Fair Scheduling Method for Virtual Machines. IEEE Transactions on Parallel and Distributed Systems, in press, DOI: 10.1109/TPDS.2018.2865341

[23] Jianguo Chen, Kenli Li*, Kashif Bilal, Keqin Li, and Philip Yu. Parallel Protein Community Detection in Large-scale PPI NetworksBased on Multi-source Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics, in press, DOI:10.1109/TCBB.2018.2868088

[24] Chubo Liu, Kenli Li*, and Keqin Li. Agame approach to multi-servers load balancing with load-dependent serveravailability consideration. IEEE Transactions on Cloud Computing, in press, DOI: 10.1109/TCC.2018.2790404

[25] Xiongwei Fei, Kenli Li*, Wangdong Yang, and Keqin Li. Velocity-awareparallel encryption algorithm with low energy consumption for streams. IEEE Transactions on Big Data, in press,DOI: 10.1109/TBDATA.2017.2697446

[26] Zhuo Tang, Wen Ma, Kenli Li, and Keqin Li. A DataSkewOriented Reduce Placement Algorithm Based on Sampling. IEEE Transactions on Cloud Computing, in press, DOI:2016.10.1109/TCC.2016.2607738

[27] Kenli Li*, Jing Mei, and Keqin Li. A Fund Constrained Investment Scheme for ProfitMaximization in Cloud Computing. IEEE Transactions on Service Computing, in press, DOI:10.1109/TSC.2016.2589241 (SCI&EI收录, CCF B, SCI 2, IF:2.365)

[28] Mingxing Duan, Kenli Li*, Xiangke Liao, and Keqin Li. AParallel Multiclassification Algorithm for Big Data Using an Extreme LearningMachine. IEEE Transactions on Neural Networks and Learning Systems, 29(6): 2337-2351, 2018 (SCI&EI收录, CCF B, SCI 1, IF:4.854)

[29] Cen Chen, Kenli Li*, Aijia Ouyang, and Keqin Li. FlinkCL: An OpenCL-based in-memory computing architecture on heterogeneousCPU-GPU clusters for big data. IEEE Transactions on Computers, 67(12): 1765-1779, 2018 (SCI&EI收录, CCF A)

[30] Chubo Liu, Kenli Li*, and Keqin Li. Minimal CostServer Configuration for Meeting Time-Varying Resource Demands in CloudCenters. IEEE Transactions on Paralleland Distributed Systems, 29(11): 2503-2513, 2018 (SCI&EI收录, CCF A)

[31] Cen Chen, Kenli Li*, Aijia Ouyang, Zhuo Tang, and Keqin Li. GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPUClusters for Big Data. IEEE Transactionson Parallel and Distributed Systems, 29(6): 1275-1288, 2018 (SCI&EI收录, CCF A)

[32] Hao Li, Kenli Li*, Jiyao An, and Keqin Li. MSGD: A novel matrixfactorization approach for large-scale collaborative filtering recommendersystems on GPUs. IEEE Transactions on Parallel and Distributed Systems, 29(7):1530-1544, 2018 (SCI&EI收录, CCF A, SCI 2, IF:2.661)

[33] Longxin Zhang, Kenli Li*, Keqin Li. Contention AwareReliability Efficient Scheduling on Heterogeneous Computing Systems. IEEE Transactions on Sustainable Computing,3(3): 182-194, 2018

[34] Zhuo Tang, Ying Zhong, Meng Ma, Kenli Li, and Keqin Li. ASelf-Adaptive Bell–LaPadula Model Based on Model Training With HistoricalAccess Logs. IEEE Transactions onInformation Forensics & Security, 2018, 13(8): 2047-2061

[35] Mingxing Duan, Kenli Li*, and Keqin Li. An ensembleCNN2ELM for age estimation. IEEE Transactions on Information Forensics and Security, 2018, 13(3): 758-772 (SCI&EI收录, CCF A)

[36] Yan Wang, Kenli Li*, and Keqin Li. Energy Optimizationfor Data Allocation with Hybrid SRAM and NVM Local Memory. IEEE Transactions on Circuits and Systems I, 2018, 65-I(1): 307-318(CCF B)

[37] Chubo Liu, Kenli Li*, and Keqin Li. Bargaining game-based scheduling for performance guaranteesin cloud computing. ACM Transactions on Modeling and Performance Evaluation of Computing Systems,2018, 3(1): 1:1-1:25

[38] Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, and Kenli Li. Game-TheoreticDesign of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma inCrowdsourcing. IEEE Transactions onInformation Forensics and Security, 2018, 13(11): 2801-2815

2017

[39] Weihua Zheng, Kenli Li*, Keqin Li, and Hing Cheung So. A ModifiedMultiple Alignment Fast Fourier Transform with Higher Efficiency. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(3): 634-645, 2017 (SCI&EI收录, SCI 3, IF:1.609)

[40] Jing Liu, Kenli Li*, Dakai Zhu, Jianjun Han, and Keqin Li. Minimizing cost of scheduling tasks on heterogeneous multicoreembedded systems. ACM Transactions on Embedded Computing Systems, 16(2): 36:1-36:25, 2017 (SCI&EI收录, CCFB, SCI4, IF:0.714)

[41] Cen Chen, Kenli Li*, Aijia Ouyang, Zhuo Tang, and Keqin Li. GPU-Accelerated Parallel Hierarchical Extreme Learning Machine onFlink for Big Data. IEEE Transactions on Systems, Man and Cybernetics: Systems, 47(10): 2740-2753,2017

[42] Xudong Kang, XiangpingZhang, Shutao Li, Kenli Li, Jun Li, and Jon Atli Benediktsson. Hyperspectral Anomaly Detection with Attribute andEdge-Preserving Filters. IEEE Transactions Geoscience and Remote Sensing, 2017, 55(10): 5600-5611

[43] Jing Mei, Kenli Li*, and Keqin Li.Customer-satisfaction-aware optimal multiserver configuration for profitmaximization in cloud computing. IEEE Transactions on Sustainable Computing, 2017, 2(1): 17-29

[44] Jianguo Chen, Kenli Li*, Zhuo Tang, Kashif Bilal, Shui Yu, Chuliang Weng, and Keqin Li. A Parallel Random Forest Algorithm for Big Data in Spark CloudComputing Environment. IEEE Transactions on Parallel and Distributed Systems, 2017, 28(4):919-933 (SCI&EI收录, CCF A, SCI 2, IF:2.661)

2016

[45] Kenli Li*, Chubo Liu, Keqin Li, and Albert Y. Zomaya. A Framework of Price Bidding Configurations forResource Usage in Cloud Computing. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(8):2168-2181 (Google被引3 , 他引3 ; SCI被引 0, 他引0 )(SCI&EI收录,CCF A, SCI 2, IF:2.661)

[46] Chubo Liu, Kenli Li*, Chengzhong Xu, and Keqin Li. Strategy Configurations of Multiple Users Competition for Cloud ServiceReservation. IEEE Transactions on Parallel and Distributed Systems,2016, 27(2):508-520 (Google被引1, 他引1; SCI被引 1 , 他引 1 )((SCI&EI收录, CCFA, SCI2, IF:2.661)

[47] Kenli Li*, Wangdong Yang, and Keqin Li. A Hybrid Parallel Solving Algorithmon GPU for Quasi-Tridiagonal Linear Equations. IEEE Transactions on Parallel and Distributed Systems, 2016,27(10): 2795-2808 (SCI&EI收录, CCFA, SCI2, IF:2.661)(Google被引2 , 他引2 ; SCI被引 0 , 他引 0 )

[48]   Ahmad Salah, Kenli Li*, and Keqin Li. Lazy-Merge: An IndexedParallel K-way In-place Merging Algorithm. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(7): 2049-2061 (SCI&EI收录, CCFA, SCI2, IF:2.661)(Google被引 2 , 他引 2 ; SCI被引 2 , 他引 2 )

[49]  Xu Zhou, Kenli Li*, Guoqing Xiao, Yantao Zhou, and Keqin Li. Top k Favorite Probabilistic Products Queries. IEEE Transactions on Knowledge and Data Engineering, 2016, 28(10):2808-2821 (SCI&EI收录, CCF A, SCI 3, IF:2.476)(Google被引1 , 他引 1 ; SCI被引 0 , 他引 0 )

[50]  Xu Zhou, KenliLi*, Yantao Zhou, and Keqin Li. Adaptive Processing for Distributed Skyline Queries over UncertainData. IEEE Transactions on Knowledge and Data Engineering, 2016,28(2):371-384 (SCI&EI收录, CCF A, SCI 3, IF:2.476)(Google被引16 , 他引 11 ; SCI被引 8 , 他引 5 , ESI高被引论文)

[51]   Chuliang Weng, Qian Liu, Kenli Li, and Deqing Zou. CloudMon. Monitoring Virtual Machines in Clouds. IEEE Transactions on Computers, 2016, 65(12):3787-3793 (SCI&EI收录, CCFA, SCI3, IF:1.723)(Google被引 0 , 他引 0 ; SCI被引 0, 他引 0 )

2015

[52] Kenli Li*, Xiaoyong Tang, Bharadwaj Veeravalli, and Keqin Li. Scheduling PrecedenceConstrained Stochastic Tasks on Heterogeneous Cluster Systems. IEEE Transactions on Computers, 2015, 64(1):191-204 (SCI&EI收录, CCFA, SCI3, IF:1.723)(Google被引 26 , 他引 23 ; SCI被引 13 , 他引 12 )

[53] Kenli Li*, Wangdong Yang, and Keqin Li. Performance Analysis andOptimization for SpMV on GPU Using Probabilistic Modeling. IEEE Transactions on Parallel and Distributed Systems, 2015, 26(1):196-205 (SCI&EI收录, CCFA, SCI2, IF:2.661)(Google被引 30 , 他引 24 ; SCI被引 12 , 他引 8 )

[54] Kenli Li*, Weihua Zheng, and Keqin Li.A Fast Algorithm With Less Operations for Length- N= q2m DFTs. IEEE Transactions on Signal Processing, 2015, 63(3):673-683 (SCI&EI收录, SCI2, IF:2.624, 信号领域顶级期刊)(Google被引 2 , 他引 2 ; SCI被引 1 , 他引1)

[55] Jing Mei, Kenli Li*, Aijia Ouyang, and Keqin Li. A Profit Maximization Schemewith Guaranteed Quality of Service in Cloud Computing. IEEE Transactions on Computers, 2015, 64(11):3064-3078 (SCI&EI收录, CCFA, SCI3, IF:1.723)(Google被引 16 , 他引 13 ; SCI被引 2 , 他引 2 )

[56] Yuming Xu, Kenli Li*, Ligang He, Longxin Zhang, and Keqin Li. A Hybrid Chemical Reaction Optimization Scheme forTask Scheduling on Heterogeneous Computing Systems. IEEE Transactions on Parallel and Distributed Systems, 2015, 26(12):3208-3222(SCI&EI收录, CCFA, SCI2, IF:2.661 (Google被引 31 , 他引 23 ; SCI被引 12 , 他引 11 , ESI高被引论文)

[57] Xiangyuan Zhu, Kenli Li*, and Keqin Li. ParallelImplementation of MAFFT on CUDA-Enabled Graphics Hardware. IEEE/ACM Transactionson Computational Biology and Bioinformatics, 2015, 12(1):205-218 (SCI&EI收录, SCI3, IF:1.609)(Google被引 11 , 他引 11 ; SCI被引 3 , 他引 3 )

[58] Kenli Li*, Wei Ai, Zhuo Tang, Fan Zhang, Lingang Jiang, Keqin Li, and Kai Hwang. Hadoop Recognition of Biomedical Named Entity Using ConditionalRandom Fields. IEEE Transactions on Parallel and Distributed Systems,2015, 26(11):3040-3051 (SCI&EI收录, CCFA, SCI 2, IF:2.661)(Google被引 12 , 他引 12 ; SCI被引 4 , 他引 4 )

[59] Songling Fu, Ligang He, Chenlin Huang, Xiangke Liao, and Kenli Li. Performance Optimization for Managing Massive Numbers of SmallFiles in Distributed File Systems. IEEE Transactions on Parallel and Distributed Systems, 2015, 26(12):3433-3448 (SCI&EI收录, CCFA, IF:2.17) (Google被引 2 , 他引 2 ; SCI被引 1 , 他引  1 )(SCI 2, IF:2.661)

[60] Wangdong Yang, Kenli Li*, Zeyao Mo, and Keqin Li. PerformanceOptimization Using Partitioned SpMV on GPUs and Multicore CPUs. IEEE Transactions on Computers, 2015, 64(9):2623-2636 (SCI&EI收录, CCF A, SCI 3, IF:1.723)(Google被引12, 他引9; SCI被引4, 他引2)

2014

[61] Kenli Li*, Xiaoyong Tang, Keqin Li. Energy-EfficientStochastic Task Scheduling on Heterogeneous Computing Systems. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(11):2867-2876 (SCI&EI收录, CCFA, SCI2, IF:2.661)(Google被引38, 他引33; SCI被引17, 他引15)

[62] Yan Wang, Kenli Li*, Hao Chen, Ligang He, and Keqin Li. Energy-aware Data Allocation and Task Scheduling on Heterogeneous Multiprocessor Systems with Time Constraints. IEEE Transactions on Emerging Topics in Computing, 2014, 2(2):134-148 (SCI&EI收录)(Google被引 13 , 他引 11 ; SCI被引 2 , 他引 2 )

[63] Weihua Zheng, Kenli Li*,and Keqin Li. Scaled Radix-2/8 Algorithm for Efficient Computation of Length N=2mDFTs. IEEE Transactions on Signal Processing,2014, 62(10):2492-2503 (Google被引 6 , 他引 3 ; SCI被引 5 , 他引 3 )( SCI&EI收录, SCI 2, IF:2.624)

[64]  Weihua Zheng, Kenli Li*, and Keqin Li. A Fast Algorithm Based on SRFFT for Length N=2mDFT. IEEE Transactions on Circuits and Systems II, 2014, 99(1):1-5 (SCI&EI收录, SCI 4, IF:1.136)(Google被引 7 , 他引 4 ; SCI被引 5 , 他引 2 )

[65] Hao Chen, Jianhua Sun, Ligang He, and Kenli Li. BAG: Managing GPU as Buffer Cache in OperatingSystems. IEEE Transactions on Parallel and Distributed Systems, 2014,25(6):1393-1402 (SCI&EI收录, CCFA, SCI 2, IF:2.661) (Google被引 1 , 他引 0 ; SCI被引 1 , 他引 0 )

[66] Shu Yin, Xiaojun Ruan, Adam Manzanares, Xiao Qin, and Kenli Li. MINT: A Reliability Modeling Framework forEnergy-Efficient Parallel Disk Systems. IEEE Transactions on Dependable Secure Computing, 2014, 11(4):345-360(SCI&EI收录, CCF A, SCI3, IF:1.592)(Google被引 2 , 他引 1 ; SCI被引 1 , 他引 1 )

2013

[67] Hao Chen, Lin Shi, Jianhua Sun, and Kenli Li. A Fast RPC System for Virtual Machines. IEEE Transactions on Parallel and Distributed Systems, 2013, 24(7):1267-1276 (SCI&EI收录, CCF A, SCI 2, IF:2.661)(Google被引 7 , 他引 7 ; SCI被引 1 , 他引 1 )

2012

[68] Lin Shi, Hao Chen, Jianhua Sun, and Kenli Li. vCUDA:GPU-acceleratedHigh-performance Computing in Virtual Machines. IEEE Transactions on Computers, 2012, 61(6):804-816 (Lin Shi为申请人指导的第一个博士生, SCI&EI收录, CCFA, SCI3, IF:1.723)(Google被引204, 他引194; SCI被引30, 他引27)

2011

[69] Xiaoyong Tang, Kenli Li*, Zeng Zeng, and Bharadwaj Veeravalli. ANovel Security-driven Scheduling Algorithm for Precedence Constrained Tasks inHeterogeneous Distributed Systems. IEEE Transactions on Computers, 2011, 60(7):1027-1029 (SCI&EI收录, CCF A, SCI 3, IF:1.723)(Google被引 51 , 他引 47 ; SCI被引 17 , 他引 15 )

二、IEEE/ACM Journals及其他著名期刊/会议论文

2019

[70] Yan Wang, Kenli Li*, Keqin Li. Dynamic Data Allocation and TaskScheduling on Multiprocessor Systems With NVM-Based SPM. IEEE Access, 2019, 7: 1548-1559

[71] Chuang Li, Kenli Li*, Qinke Li, Feng Lin. An MIC cluster-enabled spectrum dot product algorithm for large-scalepeptide identification. BMC Bioinformatics, forthcoming

[72] Cen Chen, Kenli Li*, Sin G. Teo, Xiaofeng Zou,Kang Wang, Jie Wang and Zeng Zeng. Gated Residual Recurrent Graph Neural Networksfor Traffic Prediction. In the Proceedings of the 33th AAAI Conferenceon Artificial Intelligence (AAAI 2019),pp., 2019

2018

[73] Zhiqiang Wu and Kenli Li*. VBTree: forward secureconjunctive queries over encrypted data for cloud computing. The VLDB Journal, in press (CCF A)

[74] Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Keqin Li, and S. Yu Philip. A Periodicity-based Parallel Time Series PredictionAlgorithm in Cloud Computing Environments. Information Sciences, in press

[75] Yifu Zeng, Kenli Li, Shui Yu, Yantao Zhou, and Keqin Li. Parallel and Progressive Approaches for Skyline Query OverProbabilistic Incomplete Database. IEEE Access, 2018, 6: 13289-13301

[76] Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Nan Yang, and Keqin Li. A disease diagnosis and treatment recommendation systembased on big data mining and cloud computing. Information Sciences, 2018, 435: 124-149

[77] Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, etal. Exploiting Spatio-Temporal Correlations with Multiple 3D ConvolutionalNeural Networks for Citywide Vehicle Flow Prediction. In the Proceedings of the2018 IEEE International Conference on Data Mining (ICDM 2018), IEEE, pp.893-898, 2018

[78] Longlong Liao, Kenli Li*, Keqin Li, Qi Tian, PengZhang, and Canqun Yang. UHCL-Darknet: An OpenCL-based deep neural networkframework for heterogeneous multi-/many-core clusters. In the Proceedings of the 47th InternatonalConference on Parallel Processing (ICPP 2018), Eugene, OR, Aug 13-16, pp. 44:1-44:10, 2018

[79] Hao Li, Kenli Li*, Jiyao An, and Keqin Li. CUSNTF: A Scalable Sparse Non-negative TensorFactorization Model for Large-scale Industrial Applications on Multi-GPU. In the Proceedings of the 27th ACM International Conference on Information andKnowledge Management (CIKM 2018),ACM, pp. 1113-1122, 2018

2017

[80] Chuang Li, Tao Chen, Qiang He, and Kenli Li*, MRUniNovo: AnEfficient Tool for de novo Peptide Sequencing Utilizing the Hadoop DistributedComputing Framework. Bioinformatics, 2017, 33(6):944-946 (生物信息学顶级期刊, CCF B类,SCI 2, IF:5.766)

[81] Longxin Zhang, Kenli Li*, Changyun Li, and Keqin Li. Bi-objective workflowscheduling of the energy consumption and reliability in heterogeneous computingsystems. Information Sciences, 2017, 379:241-256(Google被引0, 他引0; SCI被引0, 他引0) (CCFB, SCI 2, IF:3.364)

[82] Guoqing Xiao, Kenli Li*, and Keqin Li. Reporting l Most Influential Objects in Uncertain Databases Based onProbabilistic Reverse Top-k Queries. Information Sciences, 2017, 405:207-226(Google被引0, 他引0; SCI被引0, 他引0) (CCFB, SCI 2, IF:3.364)

[83] Wei Ai, Kenli Li*, Cen Chen, Jiwu Peng, and Keqin Li. DHCRF: A Distributed ConditionalRandom Field Algorithm on Heterogeneous CPU-GPU Cluster for Big Data. InternationalConference on Distributed Computing Systems (ICDCS 2017, CCF B), pp.2372-2379, 2017

[84] Yuanqiang Zou, Zhiqiang Wu, Lizong Deng, AipingWu, Fan Wu, Kenli Li, and TaijiaoJiang*, Yousong Peng*. cooccurNet: an R package for co-occurrence networkconstruction and analysis. Bioinformatics, 2017, 1-2

2016

[85] Cen Chen, Kenli Li*, Aijia Ouyang, Zhuo Tang, Keqin Li. GFlink: An In-MemoryComputing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. ICPP 2016:542-551(ICPP,高性能计算国际著名会议,CCF B)

[86] Jianguo Chen, Kenli Li*, Zhuo Tang, Kashif Bilal, and Keqin Li. A Parallel Patient Treatment Time Prediction Algorithm and ItsApplications in Hospital Queuing-Recommendation in a Big Data Environment. IEEE Access, 2016, 4:1767-1783  (SCI&EI收录, SCI4, IF:1.270)(Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0 )

2015

[87] Longxin Zhang, Kenli Li*, YumingXu, Fan Zhang and Keqin Li. Maximizing reliability with energy conservation forparallel task scheduling in a heterogeneous cluster. Information Sciences, 2015, 319:113-131 (SCI&EI收录, CCF B, SCI 2, IF:3.364) (Google被引19, 他引10; SCI被引14, 他引10)

2014

[88] Yuming Xu, KenliLi*, Jingtong Hu, and Keqin Li. A genetic algorithm for taskscheduling on heterogeneous computing systems using multiple priority queues. Information Sciences, 2014, 270:255-287(SCI&EI收录,CCF B, SCI 2, IF:3.364) (Google被引 75 , 他引 63 ; SCI被引 48 , 他引 44 , ESI高被引论文)

2013

[89] Weihua Zheng and Kenli Li*. Split Radix Algorithm forLength 6m DFT. IEEE Signal Processing Letters, 2013, 20(7):713-716 (Google被引 7 , 他引 3 ; SCI被引 5 , 他引 3 )(CCFC, SCI3, IF:1.661)

2012

[90] Kenli Li*, Xiaoyong Tang, and Qifeng Yin. Energy-Aware Scheduling Algorithm for Task Execution Cycles withNormal Distribution on Heterogeneous Computing Systems. The 41st International Conference on Parallel Processing (ICPP 2012), Pittsburgh, 2012,pp. 40-47 (高性能计算国际著名会议, CCFB)

三、其他期刊论文

2019

[91] Lin Xiao, Kenli Li*, Zhiguo Tan, Zhijun Zhang, Bolin Liao, Ke Chen, Long Jin, Shuai Li. Nonlinear gradient neural network for solving system oflinear equations. Information Processing Letters, 2019, 142: 35-40

[92] Yifu Zeng, Guo Chen, Kenli Li, Yantao Zhou, Xu Zhou, Keqin Li. M-Skyline:Taking sunk cost and alternative recommendation in consideration for skylinequery on uncertain data. Knowledge Based Systems, 2019, 163: 204-213

2018

[93] Wei Ai, Kenli Li*, Keqin Li. An effective hot topic detection methodfor microblog on spark. Appl. Soft Comput. 70: 1010-1023 (2018)

[94] Wenqian Dong, Kenli Li*, Letian Kang, Zhe Quan, Keqin Li. Implementingmolecular dynamics simulation on the Sunway TaihuLight system withheterogeneous many-core processors. Concurrency and Computation: Practice andExperience 30(16) (2018)

[95] Yongxing Liu, Kenli Li*, Zhuo Tang, Keqin Li. Energy aware list-basedscheduling for parallel applications in cloud. IJES 10(5): 345-355 (2018)

[96] Zhibang Yang, Kenli Li*, Xu Zhou, Jing Mei, Yunjun Gao. Top kprobabilistic skyline queries on uncertain data. Neurocomputing 317: 1-14(2018)

[97] Siyang Yu, Kenli Li*, Yuming Xu. A DAG task scheduling scheme onheterogeneous cluster systems using discrete IWO algorithm. J. Comput. Science26: 307-317 (2018)

[98] Wangdong Yang, Kenli Li*, and Keqin Li. A parallel computing methodusing blocked format with optimal partitioning for SpMV on GPU. Journal ofComputer and System Sciences, 2018, 92: 152-170

[99] Mingxing Duan, Kenli Li*, Canqun Yang, and Keqin Li. A hybrid deeplearning CNN-ELM for age and gender classification. Neurocomputing, 2018, 275:448-461

[100]Le Anh Duc, Kenli Li*, Tien Trong Nguyen, Vu Minh Yen, Tung KhacTruong. A new effective operator for the hybrid algorithm for solving globaloptimisation problems. International Journal of Systems Science, 2018, 49(5):1088-1102

[101]Zhuo Tang, Xiangshen Zhang, Kenli Li, and Keqin Li. An intermediatedata placement algorithm for load balancing in Spark computing environment.Future Generation Computing Systems, 2018, 78: 287-301

2017

[102]Cen Chen,Aijia Ouyang, Kenli Li*, and KeqinLi. A parallel approximate SS-ELM algorithm based on MapReduce for large-scaledatasets. Journal of Parallel and Distributed Computing (Special Issue onScalable Computing Systems for Big Data Applications), in press, 2017

[103]Yikun Hu, Chubo Liu, Kenli Li*, Xuedi Chen, and Keqin Li. Slackallocation algorithm for energy minimization in cluster systems. Future GenerationComputer Systems, doi:10.1016/j.future.2016.02.027(SCI&EI收录, CCF C, SCI 2, IF:2.430)(Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0 )

[104]Yongxing Liu, Kenli Li*, Zhuo Tang, and Keqin Li.Energy-aware list-based scheduling for parallel applications in cloud.International Journal of Embedded Systems, in press, 2017 (Google被引 1 , 他引 1 ; SCI被引 0 , 他引 0 )

[105]Zuojie Deng, Kenli Li*, Keqin Li, and Jingli Zhou. Amulti-user searchable encryption scheme with keyword authorization in a cloudstorage. Future Generation Computer Systems, in press, 2017 (Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0 )(CCF C类,SCI 2, IF:2.430)

[106]Zheng Xiao, Pijun Liang, Zhao Tong, Kenli Li, Samee U. Khan, and Keqin Li. Self-adaptation and mutual adaptation fordistributed scheduling in benevolent clouds. Concurrency and Computation:Practice and Experience, in press, 2017 (Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0 ) (SCI4, IF:0.942)

[107]Wangdong Yang, Kenli Li*, and Keqin Li. A parallelsolving method for block-tridiagonal equations on CPU-GPU heterogeneouscomputing systems. Journal of Supercomputing, in press, 2017, DOI:10.1007/s11227-016-1881-x(Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0 )(CCFC类,SCI 4, IF:1.088)

[108]Zheng Xiao, ZhaoTong, Kenli Li, and Keqin Li.Learning non-cooperative game for load balancing under self-interesteddistributed environment. Applied Soft Computing (5-year Impact Factor: 3.288) ,2017, 52: 376-386 (Google被引 0 , 他引 0 ; SCI被引 0 , 他引0 )(SCI 2, IF:2.857)

[109]Guoqing Xiao, Kenli Li*, Xu Zhou, and Keqin Li.Efficient monochromatic and bichromatic probabilistic reverse top-k queryprocessing for uncertain big data. Journal of Computer and System Sciences, inpress, 2017 (Google被引 0 , 他引 0 ; SCI被引  0, 他引0 ) (SCI 4, IF:1.583)

[110]Shuli Wang, Kenli Li*, Jing Mei, Guoqing Xiao, and Keqin Li. A reliability-aware task scheduling algorithm based on replication onheterogeneous computing systems. Journal of Grid Computing, in press, 2017 (Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0)(CCFC, SCI3, IF:1.561)

[111]Cheng Chang, Ligang He, Nadeem Chaudhary, Songling Fu, Hao Chen, Jianhua Sun, Kenli Li, Zhangjie Fu, Ming-Liang Xu. Performanceanalysis and optimization for workflow authorization. Future Generation Comp.Syst., 2017, 67: 194-205

[112]Fengmao Lv,Guowu Yang, Wenjing Yang, Xiaosong Zhang, KenliLi. The convergence and termination criterion of quantum-inspired evolutionaryneural networks. Neurocomputing, 2017, 238: 157-167

[113]Tan Deng, Kenli Li*. Hybrid Invasive WeedOptimization Algorithm for Parameter Estimation of Pharmacokinetic Model.IJPRAI, 2017, 31(3): 1-18

2016

[114]Lanjun Wan, KenliLi*, and Keqin Li. A novel cooperative accelerated parallel two-listalgorithm for solving the subset-sum problem on a heterogeneous cluster.Journal of Parallel and Distributed Computing, 2016, 97:112-123 (Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0 ) (SCI&EI收录, CCF B, SCI 2, IF:2.661)

[115]Xiongwei Fei, Kenli Li*, Wangdong Yang, and Keqin Li. Practical parallel AES algorithms on cloud for massive users and theirperformance evaluation. Concurrency and Computation: Practice and Experience, 2016,28:4246–4263 (Google被引 3 , 他引 2 ; SCI被引 0 , 他引 0 ) (SCI4, IF:0.942)

[116]Junjie Chen, Kenli Li*, Zhuo Tang, Chubo Liu, YanWang, and Keqin Li. Data-aware task scheduling on heterogeneous hybrid memorymultiprocessor systems. Concurrency and Computation: Practice and Experience,2016, 28(17):4443-4459 (Google被引 0 , 他引 0 ; SCI被引 0 , 他引 0 )(SCI4, IF:0.942)

[117]Guoqing Xiao, Kenli Li*, Xu Zhou, and Keqin Li. Queueing analysis of continuous queries for uncertain data streams over slidingwindows. International Journal of Pattern Recognition and ArtificialIntelligence, 2016, 30(9):1-16 (Google被引 0 , 他引 0 ; SCI被引 0 , 他引0 ) (SCI 4, IF:0.915)

[118]Xiongwei Fei, Kenli Li*, Wangdong Yang, and KeqinLi. A Secure and EfficientFile Protecting System Based on SHA3 and Parallel AES. Parallel Computing,2016,52(2):106-132 (SCI&EI收录, CCF B, SCI 3, IF:1.000) (Google被引3, 他引2; SCI被引2, 他引1)

[119]Thu-Lan Dam, Kenli Li*, Philippe Fournier-Viger, and Quang-Huy Duong.An efficient algorithm for mining top-rank-k frequent patterns. Applied Intelligence,2016, 45(1): 96-111(Google被引2, 他引2; SCI被引0, 他引0)  (CCF C, SCI 4, IF:1.215)

[120]Zhuo Tang, MinLiu, Almoalmi Ammar, Kenli Li, and Keqin Li. An optimized MapReduce workflow scheduling algorithm forheterogeneous computing. Journal of Supercomputing, 72(6):2059-2079, 2016(Google被引7 , 他引7; SCI被引0, 他引0)(CCFC类,SCI 4, IF:1.088)

[121]Mingxing Duan, Kenli Li*, Zhuo Tang, Guoqing Xiao, and Keqin Li.Selection and replacement algorithms for memory performance improvement inSpark. Concurrency and Computation: Practice and Experience, 2016,28(8):2473-2486(Google被引3, 他引3; SCI被引0, 他引0)(SCI4, IF:0.942)

[122]Longxin Zhang, Kenli Li*, Keqin Li, and Yuming Xu. Joint optimization of energy efficiency and system reliability forprecedence constrained tasks in heterogeneous systems. International Journal ofElectrical Power and Energy Systems, 2016, 78:499-512(Google被引0, 他引0; SCI被引0, 他引0)(SCI2, IF:2.587)

[123]Weihua Zheng, Shenping Xiao, Kenli Li, Keqin Li, and Weijin Jiang. A performance-efficient and datapath-regularimplementation of modified split-radix fast Fourier transform. Journal ofIntelligent & Fuzzy Systems, 2016, 31(2):957-965(Google被引0, 他引0; SCI被引0, 他引0)(SCI4, IF:1.004)

[124]Siyang Yu, Kenli Li*, Keqin Li, Yunchuan Qin, and Zhao Tong. A VLSIimplementation of an SM4 algorithm resistant to power analysis. Journal ofIntelligent & Fuzzy Systems, 2016, 31(2):795-803(Google被引0, 他引0; SCI被引0, 他引0)(SCI4, IF:1.004)

[125]Zhuo Tang, Ling Qi, Zhenzhen Cheng, Kenli Li, Samee U. Khan, and Keqin Li. An energy-efficient task scheduling algorithm inDVFS-enabled cloud environment. Journal of Grid Computing (Special Issue onGreen Cloud Computing), 2016, 14(1):55-74(Google被引10, 他引8; SCI被引6, 他引6, ESI高被引论文)(CCF C, SCI 3, IF:1.561)

[126]Lanjun Wan, Kenli Li*, Jing Liu, and Keqin Li. Efficient CPU-GPUcooperative computing for solving the subset-sum problem. Concurrency andComputation: Practice and Experience, 2016, 28(2):492-516(Google被引2, 他引2; SCI被引1, 他引1)(SCI4,IF:0.942)

[127]Guo Pan, Kenli Li*, Aijia Ouyang, and Keqin Li. Hybrid immunealgorithm based on greedy algorithm and delete-cross operator for solving TSP.Soft Computing, 2016, 20(2):555-566(Google被引6, 他引6; SCI被引2, 他引2)(CCFC类,SCI 3, IF:1.630)

2015

[128]Kenli Li*, Jing Liu, Lanjun Wan, Shu Yin, and Keqin Li. A cost-optimal parallel algorithm forthe 0-1 knapsack problem and its performance on multicore CPU and GPUimplementations. Parallel Computing, 2015, 43:27-42 (SCI&EI收录, CCF B, SCI 3, IF:1.000)(Google被引8, 他引6; SCI被引3, 他引1)

[129]Yan Wang, Kenli Li*, and Keqin Li. Minimizing write operation formulti-dimensional DSP applications via a two-level partition technique withcomplete memory latency hiding. Journal of Systems Architecture, 2015,61(2):112-126 (SCI&EI收录,CCF B, SCI 4, IF:0.683) (Google被引0, 他引0; SCI被引0, 他引0)

[130]Weihua Zheng, Kenli Li*, and Keqin. Datapath-regular implementation and scaledtechnique for N=3×2m DFTs. Signal Processing, 2015, 113:68-79 (SCI&EI收录, IF:2.209) (Google被引2, 他引2; SCI被引2, 他引2)(SCI 2, IF:2.063)

[131]Yu Ye, Kenli Li*, and Tan Deng. Parallelcomputation of Entropic Lattice Boltzmann method on hybrid CPU–GPU acceleratedsystem. Computers and Fluids, 2015,111:114-121 (SCI&EI收录, SCI 3, IF:1.891)(Google被引6, 他引6; SCI被引4, 他引4)

[132]Kenli Li*, Dapu Li, Jie Liang, Yingqiang Liao, Rangsu Liu, and Yunfei Mo. Performance analysis of parallelalgorithms in physics simulation for molecular dynamics simulation liquidmetals solidification processes. Computers and Fluids, 2015, 110:19-26 (SCI&EI收录, SCI 3, IF:1.891) (Google被引3, 他引3; SCI被引2, 他引2)

[133]Lanjun Wan, Kenli Li*, Jing Liu, and Keqin Li. GPU implementation of aparallel two-list algorithm for the subset-sum problem. Concurrency andComputation:Practice and Experience, 2015, 27(1):119-145 (SCI&EI收录, CCF C, SCI 4, IF:0.942) (Google被引9, 他引6; SCI被引3, 他引1)

[134]Lanjun Wan, Kenli Li*, Jing Liu, and Keqin Li. Efficient CPU-GPU cooperativecomputing for solving the subset-sum problem. Concurrency andComputation:Practice and Experience, 2015 (SCI&EI收录) (Google被引2, 他引2; SCI被引1, 他引1) (SCI 4, IF:0.942)

[135]Aijia Ouyang, Kenli Li*, Xiongwei Fei, Xu Zhou, and Mingxing Duan. A NovelHybrid Multi-Objective Population Migration Algorithm. International Journal ofPattern Recognition and Artificial Intelligence, 2015, 29(1):1559001 (SCI&EI收录) (Google被引9 , 他引8; SCI被引3, 他引3) (SCI 4, IF:0.915)

[136]Tung Khac Truong, Kenli Li*, Yuming Xu, Aijia Ouyang, and Tien Trong Nguyen. Solving 0-1 knapsack problem byartificial chemical reaction optimization algorithm with a greedy strategy. Journal ofIntelligent and Fuzzy Systems, 2015, 28(5):2179-2186 (SCI&EI收录, IF:1.812)(Google被引2, 他引1; SCI被引0, 他引0) (SCI4, IF:1.004)

[137]Guoqing Xiao, Kenli Li*, Keqin Li, and Xu Zhou. Efficient top-(k,l)range query processing for uncertain data based on multicore architectures.Distributed and Parallel Databases, 2015, 33(3):381-413 (SCI&EI收录) (Google被引10, 他引8; SCI被引6, 他引5)(CCF C, SCI 4, IF:1.800)

[138]Guo Pan, Kenli Li*, Aijia Ouyang, and Keqin Li. Hybrid immunealgorithm based on greedy algorithm and delete-cross operator for solving TSP. SoftComputing, 2016, 20(2):555-566 (SCI&EI收录) (Google被引6, 他引6; SCI被引2, 他引2) (CCFC, SCI3, IF:1.630)                                                                               

[139]Yongxing Liu, Kenli Li*, Zhuo Tang, and KeqinLi. Energy-awarescheduling with reconstruction and frequency equalization on heterogeneoussystems. Frontiers of Information Technology & ElectronicEngineering, 2015, 16(7):519-531 (SCI&EI收录)(Google被引1, 他引1; SCI被引0 , 他引0 ) (SCI4, IF:0.392)

[140]Guangping Tang, WangdongYang, Kenli Li*, Yu Ye,Guoqing Xiao, and Keqin Li. An iteration-based hybrid parallel algorithm for tridiagonal systems ofequations on multi-core architectures. Concurrency andComputation:Practice and Experience, 2015, 27(17):5076-5095 (SCI&EI收录)(Google被引1, 他引1; SCI被引0, 他引0) (CCFC, SCI4, IF:0.942)

[141]Zhuo Tang, Lingang Jiang, Li Yang, Kenli Li, and KeqinLi. CRFs based parallelbiomedical named entity recognition algorithm employing MapReduce framework. Cluster Computing,2015, 18(2):493-505 (SCI&EI收录)(Google被引7, 他引7; SCI被引3, 他引3) (CCFC类,SCI 3, IF:1.514)

[142]Zhuo Tang, Lingang Jiang, Li Yang, Kenli Li, and Keqin Li. CRFs based parallel biomedical named entity recognition algorithmemploying MapReduce framework. Cluster Computing, 2015, 18(2):493–505(SCI&EI收录, IF:0.949)(Google被引8 , 他引7 ; SCI被引3 , 他引 2)(CCF C类,SCI 3, IF:1.514)

[143]Zhuo Tang, Lingang Jiang, Junqing Zhou, KenliLi, and Keqin Li. Aself-adaptive scheduling algorithm for reduce start time. Future GenerationComputer Systems, 2015, 43-44:51-60 (SCI&EI收录, IF:2.786) (Google被引21, 他引18; SCI被引4, 他引4) (CCFC类,SCI 2, IF:2.430)

[144]Songling Fu, Ligang He,Xiangke Liao, Chenlin Huang, KenliLi, and Cheng Chang. Analyzing and Boosting the Data Availability inDecentralized Online Social Networks. International Journalof Web Services Research, 2015, 12(2):47-72(Google被引0, 他引0; SCI被引0, 他引0) (SCI4, IF:0.257)

2014

[145]Ahmed Sallam and Kenli Li*. A Multi-objective Virtual Machine Migration Policy in Cloud Systems. The Computer Journal,2014, 57(2):195-204 (SCI&EI收录, CCF B)(Google被引17, 他引17; SCI被引6, 他引6) (SCI4, IF:1.000)

[146]Ahmed Sallam, Kenli Li*, Aijia Ouyang, and ZhiyongLi. Proactive workload management in dynamic virtualized environments. Journalof Computer and System Sciences, 2014, 80(8):1504-1517 (SCI&EI收录, CCF B) (Google被引9, 他引9; SCI被引2, 他引2) (CCF B, SCI 4, IF:1.583)

[147]Kenli Li*, Chubo Liu, and Keqin Li. An approximationalgorithm based on game theory for scheduling simple linear deteriorating jobs.Theoretical Computer Science, 2014, 543:46-51 (SCI&EI收录, CCF B) (Google被引4, 他引3; SCI被引0, 他引0) (SCI 4, IF:0.643)

[148]Liang Jie, Kenli Li*, Lin Shi, RangSu Liu, and Jing Mei. Accelerating solidification processsimulation for large-sized system of liquid metal atoms using GPU with CUDA. Journal ofComputational Physics, 2014, 257:521-535 (SCI&EI收录,IF:2.434) (Google被引9, 他引8; SCI被引4, 他引3) (SCI2, IF:2.566)

[149]Jing Mei, Kenli Li*, and Keqin Li. Energy-aware task scheduling in heterogeneous computing environments. ClusterComputing, 2014, 17(2):537-550 (SCI&EI收录) (Google被引20, 他引15; SCI被引 10, 他引 6) (CCFC, SCI 3, IF:1.514)

[150]Xiaoyong Tang, Kenli Li*, and Guiping Liao. Aneffective reliability-driven technique of allocating tasks on heterogeneouscluster systems. Cluster Computing, 2014, 17(4):1413-1425 (SCI&EI收录) (Google被引7, 他引6; SCI被引1, 他引0) (CCF C 类,SCI 3, IF:1.514)

[151]Ahmad Salah and Kenli Li*. PAR-3D-BLAST:A parallel tool for searching and aligning proteinstructures. Concurrency and Computation:Practice and Experience,2014, 26(10):1705-1714 (SCI&EI收录)(Google被引3, 他引2; SCI被引0, 他引0)(CCF C, SCI4, IF:0.942)

[152]Aijia Ouyang, Kenli Li*, Tung Khac Truong,Ahmed Sallam, and Edwin H.-M. Sha. Hybrid particle swarm optimization for parameterestimation of Muskingum model. Neural Computing andApplications, 2014, 25(7-8):1785-1799 (SCI&EI收录)(Google被引27, 他引17; SCI被引17, 他引17) (SCI3, IF:1.492)

[153]Jing Mei, Kenli Li*, and Keqin Li. A resource-awarescheduling algorithm with reduced task duplication on heterogeneous computingsystems. The Journal of Supercomputing, 2014, 68(3):1347-1377 (SCI&EI收录) (Google被引6, 他引5; SCI被引3, 他引3) (CCF C类,SCI 4, IF:1.088)

[154]Zhao Tong, Kenli Li*Li, Zheng Xiao, and Xiao Qin. H2ACO:An Optimization Approach to Scheduling Tasks with AvailabilityConstraint in Heterogeneous Systems. Journal of InternetTechnology, 2014, 1(15):115-124 (SCI&EI收录)(Google被引2, 他引2; SCI被引3, 他引3) (SCI4, IF:0.533)

[155]Wangdong Yang, Kenli Li*, Yan Liu, Lin Shi, and Lanjun Wan. Optimization of quasi-diagonal matrix-vectormultiplication on GPU. International Journal of High Performance ComputingApplications, 2014, 28(2):183-195 (SCI&EI收录) (Google被引7, 他引3; SCI被引5 , 他引2) (SCI 3, IF:1.081)

[156]Guo Pan, Kenli Li*, Aijia Ouyang, Xu Zhou, and Yuming Xu. A Hybrid Clustering AlgorithmCombining Cloud Model IWO and k-Means. International Journalof Pattern Recognition and Artificial Intelligence, 28(6) (SCI&EI收录)(Google被引10, 他引2; SCI被引5 , 他引0)SCI4, IF:0.915ss

[157]Zhao Tong, Zheng Xiao, Kenli Li, and Keqin Li.Proactive scheduling in distributed computing - A reinforcement learning approach.Journal of Parallel and Distributed Computing, 2014, 74(7):2662-2672 (SCI&EI收录, CCF B类,SCI 4, IF:1.320) (Google被引6, 他引5; SCI被引4, 他引3)

[158]Xu Zhou, Yantao Zhou, Kenli Li*, Ahmad Sallam, and Keqin Li. Molecular solutions for minimum and exact coverproblems in the tile assembly model. The Journal ofSupercomputing, 2014, 69(2):976-1005 (SCI&EI收录) (Google被引1, 他引1; SCI被引0, 他引0)(CCF C, SCI 4, IF:1.088)

[159]Zhuo Tang, Yanqing Mo, Kenli Li, and Keqin Li. Dynamic forecast scheduling algorithm forvirtual machine placement in cloud computing environment. The Journal ofSupercomputing, 2014, 70(3):1279-1296 (SCI&EI收录) (Google被引6, 他引5; SCI被引2, 他引2) (CCF C, SCI 4, IF:1.088)

[160]Ouyang, Aijia, Zhuo Tang, Kenli Li*,  Ahmad Sallam,and Edwin H.-M. Sha. Estimating parameters of Muskingum Model using an Adaptive Hybrid PSO Algorithm. International Journal of Pattern Recognition andArtificial Intelligence, 2014, 28(1) (SCI&EI收录) (Google被引17, 他引9; SCI被引5, 他引2)SCI 4, IF:0.915

[161]Tao Wang, Zhigang Chen, Kenli Li, Xiaoheng Deng, and Deng Li. Memorydoes not necessarily promote cooperation in dilemma games. Physica A:Statistical Mechanics and its Applications, 2014,395:218-227 (SCI&EI收录,IF:1.732) (Google被引6, 他引3; SCI被引 5, 他引 3)SCI 3, IF:1.785

[162]Yousong Pen, Yuanqiang Zou, Honglei Li, Kenli Li, andTaijiao Jiang. Inferring the antigenic epitopes for highly pathogenic avianinfluenza H5N1 viruses. Vaccine, 2014, 32(6):671-676 (SCI&EI收录, SCI 2, IF:3.413, SCI被引2, 他引2)(Google被引7, 他引5; SCI被引6, 他引4)

[163]Zhuo Tang, Min Liu, Ammar Almoalmi, Kenli Li, and Keqin Li. An Optimized MapReduceWorkflow Scheduling Algorithm for Heterogeneous Computing. Journal ofSuperComputing, 2014, 1-21, http//DOI:10.1007/s11227-014-1335-2 (SCI&EI收录, IF:0.841) (Google被引7, 他引7; SCI被引 0, 他引0 )( CCF C,SCI 4, IF:1.088)

[164]徐雨明, 朱宁波, 欧阳艾嘉, 李肯立. 异构系统中DAG任务调度的双螺旋结构遗传算法. 计算机研究与发展,2014, 51(6):1240-1252 (EI收录)

[165]唐卓, 朱敏, 杨黎, 唐小勇, 李肯立. 云环境中面向随机任务的用户效用优化模型. 计算机研究与发展, 2014, 51(5):1120-1128 (EI收录)

2013

[166]Tung Khac Truong, Kenli Li*, and Yuming Xu. Chemical reaction optimization with greedystrategy for the 0-1 knapsack problem. Applied SoftComputing, 2013, 13(4):1774-1780 (SCI&EI收录, IF:2.810) (Google被引58, 他引46; SCI被引33, 他引31)SCI 2, IF:2.857

[167]Yuming Xu, Kenli Li*,  Ligang He, and Tung Khac Truong. A DAG scheduling scheme on heterogeneous computing systemsusing double molecular structure-based chemical reaction optimization. Journalof Parallel and Distributed Computing, 2013, 73(9):1306-1322 (SCI&EI收录, CCF B) (Google被引45, 他引30; SCI被引28, 他引23)SCI 4, IF:1.320

[168]Weihua Zheng and Kenli Li*. Split Radix Algorithm for Length 6m DFT. IEEE SignalProcessing Letters, 2013, 20(7):713-716 (SCI&EI收录) (Google被引7, 他引3; SCI被引0, 他引0)(CCF C,SCI 3, IF:1.661)

[169]Yu Ye and Kenli Li*. Entropic Lattice Boltzmann Methodbased high Reynolds number flow simulation using CUDA on GPU. Computers andFluids, 2013, 88:241-249 (SCI&EI收录, IF:1.467, SCI被引10, 他引8) (Google被引次, 他引次; SCI被引15, 他引13)SCI 3, IF:1.891

[170]Jing Mei, Kenli Li*, Jingtong Hu, Shu Yin, and Edwin H. –M Sha. Energy-aware preemptive schedulingalgorithm for sporadic tasks on DVS platform. Microprocessors andMicrosystems - Embedded Hardware Design, 2013, 37(1):99 (SCI&EI收录) (Google被引30, 他引28; SCI被引11, 他引10)SCI 4, IF:0.471

[171]Fan Wu, Kenli Li*, Sallam Ahmad, and Xu Zhou. A molecular solution for minimum vertex coverproblem in tile assembly model. The Journal ofSupercomputing, 2013, 66(1):148-169 (SCI&EI收录) (Google被引6, 他引4; SCI被引1, 他引0)CCF C类,SCI 4, IF:1.088

[172]Xiangyuan Zhu, Kenli Li*, and Ahmad Salah. A data parallel strategy for aligning multiplebiological sequences on multi-core computers. Computers in Biologyand Medicine, 2013, 43(4):350-361(SCI&EI收录) (Google被引16, 他引9; SCI被引1, 他引0)SCI 3, IF:1.521

[173]Zhuo Tang, JunqingZhou, Kenli Li, and Ruixuan Li. AMapReduce task scheduling algorithm for deadline constraints. ClusterComputing, 2013, 16(4):651-662 (SCI&EI收录) (Google被引25, 他引23; SCI被引11, 他引8)(CCF C, SCI 3, IF:1.514)

[174]Mais Nijim, Xiao Qin,Meikang Qiu, and Kenli Li. An adaptive energy-conserving strategy for paralleldisk systems. Future Generation Computer Systems, 2013, 29(1):196-207(SCI&EI收录, IF:2.786) (Google被引6, 他引6; SCI被引5, 他引5)(CCF C, SCI 2, IF:2.430)

[175]李肯立*, 罗兴, 周旭. 基于自组装模型的最大团问题DNA计算算法. 计算机研究与发展, 2013,45(10):1782-1789 (EI收录)

[176]吴帆, 李肯立*. 基于自组装的N皇后问题DNA计算算法. 电子学报, 2013, 41(11):2174-2180 (EI收录)

2012

[177]Xiaoyong Tang, Kenli Li*, Meikang Qiu, and E.H-M Sha. A hierarchical reliability-driven scheduling algorithm ingrid systems. Journal of Parallel and Distributed Computing, 2012,72(4):525-535 (SCI&EI收录, CCF B, SCI 4, IF:1.320) (Google被引20, 他引18; SCI被引15, 他引11)

[178]Xiaomin Zhu, ChuanHe, Kenli Li, and Xiao Qin. Adaptive energy-efficient scheduling for real-time tasks on DVS-enabledheterogeneous clusters. Journal of Parallel and Distributed Computing, 2012,72(6):751-763 (SCI&EI收录, CCF B) (Google被引57, 他引51; SCI被引26, 他引25)SCI 4, IF:1.320

[179]Ligang He,Chenlin Huang, Kewei Duan, Kenli Li, Hao Chen, Jianhua Sun, and Jarvis Stephen A. Modeling and analyzing the impact ofauthorization on workflow executions. Future GenerationComputer Systems, 2012, 28(8):1177-1193 (SCI&EI收录, IF:2.786) (Google被引14, 他引11; SCI被引7, 他引5)(CCF C,SCI 2, IF:2.430)

2011

[180]Kenli Li*, Tianfang Tan, Xiaoyong Tang, and Feng Wang. Parallelization methods for implementation of discharge simulation along resininsulator surfaces. Computers & Electrical Engineering, 2011, 37(1):30-40(SCI&EI收录) (Google被引3, 他引1; SCI被引1, 他引0)SCI 4, IF:1.084

[181]KenliLi*, Zhao Tong, DanLiu, T. Tesfazghi, and Xiangke Liao. A PTS-PGATS based approach fordata-intensive scheduling in data grids. Frontiers of ComputerScience in China, 2011, 5(4):513-525 (SCI&EI收录) (Google被引6, 他引4; SCI被引1, 他引0)SCI 4, IF:0.660

[182]Xiaoyong Tang, Kenli Li*, Guiping Liao, Kui Fang, and Fan Wu. A stochastic scheduling algorithm forprecedence constrained tasks on Grid. Future GenerationComputer Systems, 2011, 27(8):1083-1091 (SCI&EI收录, IF:2.786) (Google被引39, 他引36; SCI被引23, 他引21)CCF CSCI 2, IF:2.430

[183]Xu Zhou, Kenli Li*, GoodmanMakojoa, and Ahmed Sallam. A novel approach for the classical ramsey number problem on DNA-based supercomputing.Communications in Mathematical and in computer chemistry, 2011, 66:347-370(SCI&EI收录, IF:1.971, SCI被引9次,他引7) (Google被引13, 他引11; SCI被引10, 他引9)SCI 3, IF:3.858

[184]Zeng Zeng, VeeravalliBharadwaj, and Kenli Li. A novel server-side proxy cachingstrategy for large-scale multimedia applications. Journal of Paralleland Distributed Computing, 2011, 71(4):525-536 (SCI&EI收录, CCF B类,SCI 4, IF:1.320) (Google被引7, 他引7; SCI被引3, 他引3)

  1. 四、会议论文

[185]Letian Kang, Zhi-Jie Wang, Zhe Quan, Weigang Wu, Song Guo, Kenli Li, Keqin Li. An Efficient Method for Optimizing PETSc on the Sunway TaihuLight System.SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 538-545

[186]Yajun Dai, Wenjun Jiang, Kenli Li. Group-Based Competitive Influence Maximization.SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 999-1006

[187]Wei Lv, ZhuoTang, Kenli Li, Keqin Li. An Adaptive Partition Method for Handling Skew inSpark Applications. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1063-1070

[188]Xiaoyu Zhang, Xiangke Liao, Hao Zhu, Kenli Li, Benyun Shi, Shaoliang Peng. A novel algorithmfor detecting co-evolutionary domains in protein and nucleotide sequences. BIBM2017: 56-61

[189]Longlong Liao, Kenli Li, Keqin Li, Qi Tian, Canqun Yang. Automatic density clustering withmultiple kernels for high-dimension bioinformatics data. BIBM 2017: 2105-2112

[190]Tongwu Dai, Kenli Li, Cen Chen. A parallel randomized neural network on in-memory clustercomputing for big data. ICNC-FSKD 2017: 1769-1778

[191]Xiangyuan Zhu, Bing Li, Jian Li, Kenli Li. Retrieving Myers-Miller alignments for pairwisebiological sequences using spark. ICNC-FSKD 2017: 2049-2053

[192]Ying Zhong, Zhuo Tang, Xiaofei Ding, Li Zhu, Yuquan Le, Kenli Li, Keqin Li. An Improved LDAMulti-document Summarization Model Based on TensorFlow. ICTAI 2017: 255-259

[193]Yuanqiang Zou, Kenli Li, Taijiao Jiang, Yousong Peng. Prediction of Cell Specific O-GalNAcGlycosylation in Human. ICPCSEE (2) 2017: 286-292

[194]Zhiying Tan, Beibei Xu, Kenli Li, Taijiao Jiang, Yousong Peng. Predicting the AntigenicVariant of Human Influenza A(H3N2) Virus with a Stacked Auto-Encoder Model.ICPCSEE (2) 2017: 302-310

[195]Lei Yang, Ying Feng, Kenli Li. Optimization of Virtual Resources Provisioning for CloudApplications to Cope with Traffic Burst. ISPA/IUCC 2017: 80-87

[196]Jingjing Wang, Wenjun Jiang, Kenli Li, Keqin Li. Detecting Influential Nodes Incrementally andEvolutionarily in Online Social Networks. ISPA/IUCC 2017: 182-189

[197]Hao Li, KenliLi, Jiwu Peng, Junyan Hu, Keqin Li. An Efficient Parallelization Approach forLarge-Scale Sparse Non-Negative Matrix Factorization Using Kullback-LeiblerDivergence on Multi-GPU. ISPA/IUCC 2017: 511-518

[198]Mengxian Li, Wenjun Jiang, Kenli Li. When and What Music Will You Listen To? Fine-GrainedTime-Aware Music Recommendation. ISPA/IUCC 2017: 1091-1098

[199]Hao Li, KenliLi, Jiwu Peng, Keqin Li. CuSNMF: A Sparse Non-Negative Matrix FactorizationApproach for Large-Scale Collaborative Filtering Recommender Systems on Multi-GPU. ISPA/IUCC 2017: 1144-1151

[200]Xiangyuan Zhu, BingLi, Kenli Li, Ping Shao, Yi Pan. A Parallel Pairwise Alignment with Pruning forLarge Genomic Sequences. PDCAT 2017: 243-248

[201]Weiwei Chen, Chin-Tau Lea, Kenli Li. Dynamic Resource Allocation in Ad-Hoc Mobile CloudComputing. WCNC 2017: 1-6

[202]Mengxian Li, Wenjun Jiang, and Kenli Li. Recommendation Systems in Real Applications: Algorithm andParallel Architecture. SpaCCS 2016: 45-58 (EI收录)

[203]Wei-na Niu, Xiaosong Zhang, Kenli Li, GuowuYang, and Ruidong Chen Modeling Attack Process of Advanced Persistent Threat.SpaCCS 2016: 383-391 (EI收录)

[204]Longxin Zhang, Kenli Li*, and Keqin Li. Bi-objectiveOptimization Genetic Algorithm of the Energy Consumption and Reliability forWorkflow Applications in Heterogeneous Computing Systems. ICA3PP (2)2015:651-664 (EI收录)

[205]Ahmad Salah, KenliLi*, Tarek F. Gharib, and Tarek F. Gharib. A Framework to AccelerateProtein Structure Comparison Tools. CCGRID 2015:705-708(EI收录)

[206]Pinjie He and Kenli Li*. MIC-Tandem:Parallel X!Tandem Using MIC on Tandem Mass Spectrometry Based ProteomicsData. CCGRID 2015:717-720 (EI收录)

[207]Cheng Zhu, Kenli Li*, Wangdong Yang, and Xu Zhou. Parallel algorithm forsolving penta-diagonal linear systems. FSKD 2015:2437-2442 (EI收录)

[208]Shu Yin, Xuewu Li, Kenli Li, Jianzhong Huang,Xiaojun Ruan, Xiaomin Zhu, Wei Cao, and Xiao Qin. REED:A Reliable Energy-Efficient RAID. ICPP 2015:649-658 (EI收录)

[209]Huanzhou Zhu, Ligang He, BoGao, Kenli Li, Jianhua Sun, HaoChen, and Keqin Li. Modellingand Developing Co-scheduling Strategies on Multicore Processors. ICPP 2015:220-229 (EI收录)

[210]Xuedi Chen, Kenli Li*, Chubo Liu, and Keqin Li. SLA-based energy awarescheduling of precedence-constrained applications on DVFS-enabled clusters.ICPADS 2014:336-343 (EI收录)

[211]Kenli Li*, Shuai Li, Yuming Xu,and Zhaoxin Xie. A DAG Task Scheduling Scheme on Heterogeneous ComputingSystems Using Invasive Weed Optimization Algorithm. PAAP 2014:262-267 (EI收录)

[212]Huicheng Wu, Kenli Li*, Zhuo Tang, and Longxin Zhang. A Heuristic SpeculativeExecution Strategy in Heterogeneous Distributed Environments. PAAP 2014:268-273(EI收录)

[213]Lanjun Wan, Kenli Li*, Jing Liu, and Keqin Li. A Novel CPU-GPU CooperativeImplementation of A Parallel Two-List Algorithm for the Subset-Sum Problem.PMAM 2014:70-79 (EI收录)

[214]Guangping Tang, Kenli Li*, Keqin Li, Hang Chen, and Jiayi Du. A Hybrid ParallelTridiagonal Solver on Multi-core Architectures. IPDPS Workshops 2014:604-613(EI收录)

[215]Shuli WangKenli Li*Jing MeiKeqin Li, and Yan Wang. A Task Scheduling Algorithm Based onReplication for Maximizing Reliability on Heterogeneous Computing Systems. IPDPS Workshops2014:1562-1571 (EI收录)

[216]Xiangyuan Zhu and Kenli Li*. CUDA-MAFFT: Accelerating MAFFT on CUDA-enabled graphicshardware. BIBM 2013:486-489 (EI收录)

[217]Shu Yin, Kenli Li*, Xiao Qin, Xiaojun Ruan, Haiquan Chen, Jiong Xie, and XiaominZhu. Reliability Analysis of Energy-Efficient Parallel Storage Systems. HPCC/EUC2013:1448-1455 (EI收录)

[218]Siyang Yu, Kenli Li*, Yunchuan Qin, and Shaohua Tang. An Anti-power AttacksImplementation of AES Algorithm in ASIC. HPCC/EUC 2013:1640-1646 (EI收录)

[219]Jie Liang, Kenli Li*, Lin Shi, and Yingqiang Liao. Accelerating DynamicsSimulation of Solidification Processes of Liquid Metals Using GPU with CUDA.IPDPS Workshops 2013:2045-2053 (EI收录)

[220]Ahmad Salah and Kenli Li*. A data decomposition middleware tool with a genericbuilt-in work-flow. EuroMPI 2013:265-269 (EI收录)

[221]Kenli Li*, Xiaoyong Tang, and Qifeng Yin. Energy-Aware Scheduling Algorithm for Task Execution Cycles withNormal Distribution on Heterogeneous Computing Systems. ICPP 2012:40-47 (EI收录)

[222]Kenli Li*, Zhimin Zhang, Yuming Xu, Bo Gao, and Ligang He. Chemical Reaction Optimization for Heterogeneous ComputingEnvironments. ISPA 2012:17-23 (EI收录)

[223]Tong Zhao, Kenli Li*, Zheng Xiao, and Xiao Qin. A QoS Scheduling Scheme withAvailability Constraint in Distributed Systems. PDCAT 2012:481-486 (EI收录)

[224]Yuming Xu, Kenli Li*, Tung Truong Khac, and Meikang Qiu. A Multiple PriorityQueueing Genetic Algorithm for Task Scheduling on Heterogeneous ComputingSystems. HPCC-ICESS 2012:639-646 (EI收录)

[225]Jing Mei and Kenli Li*. Multi-copy Deleting Approach for Duplication Based Scheduling onHeterogeneous Computing Systems. ICPP Workshops 2012:610-611(EI收录)

[226]Ahmed Sallam and Kenli Li*. Virtual Machine Proactive Scaling in Cloud Systems. CLUSTER Workshops2012:97-105 (EI收录)

[227]Jing Mei and KenliLi*. Energy-Aware Scheduling Algorithm with Duplication on HeterogeneousComputing Systems. GRID 2012:122-129 (EI收录)

[228]Zhuo Tang, Junqing Zhou, Kenli Li, and Ruixuan Li. MTSD:A Task Scheduling Algorithm for MapReduce Base on Deadline Constraints.IPDPS Workshops 2012:2012-2018 (EI收录)

[229]Zhuo Tang, Min Liu, Kenli Li, and Yuming Xu. AMapReduce-Enabled Scientific Workflow Framework with Optimization SchedulingAlgorithm. PDCAT 2012:599-604 (EI收录)

[230]Zheng Xiao, Zhao Tong, and Kenli Li. Probabilistic Scheduling Based on Queueing Model forMulti-user Network Applications. CIT 2012:224-229 (EI收录)

[231]Kenli Li* and Lingxiao Li, Teklay Tesfazghi, Edwin Hsing-Mean Sha,Tesfazghi T., et al. Adaptiveand Cost-Optimal Parallel Algorithm for the 0-1 Knapsack Problem. PDP 2011:537-544 (EI收录)

[232]Longxin Zhang and Kenli Li*. Energy Minimization for Software Real-Time Systems withUncertain Execution Time. PAAP 2011:87-91 (EI收录)

[233]Xiangyuan Zhu, Kenli Li*, and Renfa Li. A Data Parallel Strategy for Aligning MultipleBiological Sequences on Homogeneous Multiprocessor Platform. ChinaGrid2011:188-195

[234]Ligang He, Chenlin Huang, Kenli Li, Hao Chen, Jianhua Sun, Bo Gao, Kewei Duan, and Stephen A. Jarvis. Modelling and analyzing the authorization andexecution of video workflows. HiPC 2011:1-10 (EI收录)

五、2011年以前发表的论文

[235]Xiaoyong Tang, Kenli Li*, Guiping Liao, and Renfa Li. List scheduling withduplication for heterogeneous computing systems. Journal of Parallel andDistributed Computing, 2010, 70(4):323-329 (SCI&EI收录, CCF B类,SCI 4, IF:1.320) (Google被引74, 他引59; SCI被引39, 他引29)

[236]Xiaoyong Tang, Kenli Li*, Renfa Li, and Veeravalli B. Reliability-awarescheduling strategy for heterogeneous distributed computing systems. Journal ofParallel and Distributed Computing, 2010, 70(9):941-952 (SCI&EI收录, CCF B类,SCI 4, IF:1.320) (Google被引55, 他引45; SCI被引28, 他引19)

[237]Jianxi Fan., Kenli Li*, Shukui Zhang. One-to-one communication in twisted cubes underrestricted connectivity. Frontiers of Computer Science inChina, 2010, 4(4):489-499 (SCI&EI收录,SCI 4, IF:0.660)(Google被引5, 他引2; SCI被引3, 他引1)

[238]Xu Zhou, Kenli Li*, and Guangxue Yue. A new DNA computingalgorithm for 3-dimensional matching problem based on divide and conquerstrategy. Acta Electronica Sinica, 2010, 38(8):1831-1836(SCI&EI收录, IF:0.706)(Google被引3, 他引2; SCI被引4, 他引4)

[239]Yong Jiang, Kenli Li*, Zhishui Zhong, and Goodman Makojoa. An 0(1.414n) volumemolecular solution for the 0-1 knapsack problem on DNA-based supercomputing.BIC-TA 2010:223-230 (EI收录)

[240]Xiaoyong Tang, Kenli Li*, and Padua Divid. Communication contention in APN listscheduling. Science In China, Serias F:Information Science, 2009, 52(1):59-69(SCI&EI收录, IF:0.702, 被引15次,他引9) (Google被引38, 他引30; SCI被引18, 他引9)SCI 4, IF:0.885

[241]Zhiyong Li , Rudolph Guenter, and Kenli Li. Convergence performance comparison ofquantum-inspired multi-objective evolutionary algorithms. Computers &Mathematics with Applications, 2009, 57(11-12):1843-1854 (SCI&EI收录, SCI 3, IF:1.398) (Google被引26, 他引23; SCI被引12, 他引9)

[242]Xin Huang, Kenli Li*, and Renfa Li. A Energy Efficient Scheduling Base onDynamic Voltage and Frequency Scaling for Multi-core Embedded Real-Time System.ICA3PP 2009:137-145 (EI收录)

[243]Kenli Li*, Huan Zhao, Renfa Li, and Qinghua Li. A paralleltime-memory-processor tradeoff O(25n/6) for knapsack like NP complete problems.Journal of Software (软件学报外文), 2007,18(6):1319-1327 (SCI&EI收录) (Google被引次, 他引次; SCI被引0, 他引0)SCI 4, IF:0.729

[244]Zhaopeng Li, Kenli Li*, Degui Xiao, and Lei Yang. An Adaptive ParallelHierarchical Clustering Algorithm. HPCC 2007:97-107 (EI收录)

[245]Ying Wang, Kenli Li*, Lang Li, and Renfa Li. A Vertical and HorizontalMultiway Algorithm for Parallel-Merging. Journal of Computer Research andDevelopment (计算机研究与发展外文), 2006,43(12):2180-2186 (SCI&EI收录) (Google被引次, 他引次; SCI被引次, 他引次)

[246]Xiaohui Ren, Kenli Li*, RenfaLi, and Lei Yang. An Improved Trust Model in P2P. APSCC 2006:76-81 (EI收录)

[247]KenliLi*, Renfa Li, Lei Yang, and Yantao Zhou. A ParallelO(n27n/8) Time-Memory-Processor Tradeoff for Knapsack-Like Problems. NPC 2005:197-204 (EI收录)

[248]Kenli Li*, Renfa Li, and Qinghua Li. Optimal Parallel Algorithmfor the Knapsack Problem Without Memory Conflicts. Journal of Computer Scienceand Technology, 2004, 19(6):760-768 (SCI&EI收录) (Google被引34, 他引11; SCI被引15, 他引4)(CCF B类,SCI 4, IF:0.475)

[249]唐小勇, 李肯立*. 考虑通信竞争的任意处理机网络表调度算法. 中国科学, 2009, 39(07):704-714 (EI收录)

[250]杨磊, 黄启鑫, 李肯立*. 一种基于DNA计算的指定结点路由算法. 计算机学报, 2009, 32(12):2373-2380 (EI收录)

[251]唐卓, 赵林, 李肯立, 李瑞轩. 基于风险的多域安全互操作访问控制研究. 计算机研究与发展, 2009, 46(6):948-955 (EI收录)

[252]李肯立*, 周旭, 李仁发. 最大团问题的一种改进DNA计算机算法. 计算机学报, 2008, 31(12):2173-2182 (EI收录)

[253]李肯立*, 周旭. 图顶点着色问题O(2n)链数DNA计算机算法. 电子学报, 2008, 36(11):2096-2102 (EI收录)

[254]李肯立*, 刘杰, 许进. 精确覆盖问题的O(1.414n)DNA链数DNA计算机算法. 计算机研究与发展, 2008,45(10):1782-1789 (EI收录)

[255]李肯立*, 姚凤娟, 李仁发. 子集和问题的O(1.414n)DNA链数DNA计算机算法. 计算机学报, 2007, 30(11):1947-1953(EI收录)

[256]李肯立*, 姚凤娟, 李仁发, 许进. 基于分治的背包问题DNA计算机算法. 计算机研究与发展, 2007, (6):1063-1070(EI收录)

[257]李肯立*, 李仁发. 背包类NP问题无存储冲突的并行三表算法. 计算机学报, 2006, 29(2):345-352(EI收录)

[258]王颖, 李肯立*, 李仁发. 一种并行振荡倾斜归并排序算法. 计算机研究与发展, 2006,43(12):2180-2186 (EI收录)

[259]李肯立*, 李庆华, 戴光明, 周炎涛. 背包问题一种自适应算法.计算机研究与发展, 2004, 41(7):1292-1298 (EI收录)

[260]李庆华, 李肯立*. 背包问题的一种成本最优并行算法.软件学报, 2003, 14(5):891-896 (EI收录)

六、作为客座编辑主编的期刊特刊和参与完成的著作

[261]Jing Mei, Kenli Li*, and Keqin Li. Profitoptimization in cloud computing. Focus on Cloud Computing Research, Nova SciencePublishers, Inc., New York, 2017

[262]Chubo Liu, Kenli Li*, and Keqin Li. Explorationsof game theory applied in cloud computing. Integration of Cloud Computing,Cyber Physical Systems and Internet of Things, Rajiv Ranjan, Karan Mitra, PremPrakash Jayaraman, Lizhe Wang, and Albert Zomaya, eds., Springer-Verlag, 2017

[263]Mingxing Duan, Kenli Li*, and Keqin Li. Internet ofthings and deep learning. Integration of Cloud Computing, Cyber PhysicalSystems and Internet of Things, Rajiv Ranjan, Karan Mitra, Prem PrakashJayaraman, Lizhe Wang, and Albert Zomaya, eds., Springer-Verlag, 2017

[264]Jianguo Chen, Zhuo Tang, Kenli Li*, and Keqin Li.Parallel data mining and applications in hospital big data processing. Big DataManagement, Architecture, and Processing, Kuan-Ching Li, Hai Jiang, and AlbertZomaya, eds., Chapter 20, Chapman & Hall/CRC Big Data Series, CRC Press,Taylor & Francis Group, USA, 2017

[265]Cen Chen, Kenli Li*, Mingxing Duan, and Keqin Li. Extreme learning machine and its applications in big data processing. Big DataAnalytics for Sensor-Network Collected Intelligence, Hui-Huang Hsu, Chuan-YuChang, Ching-Hsien Hsu, eds., Chapter 6, Elsevier, 2017

[266]Xiongwei Fei, Kenli Li*, Wangdong Yang, and Keqin Li. CPU-GPU computing: overview, optimization, and applications. InnovativeResearch and Applications in Next-Generation High Performance Computing, QusayF. Hassan, ed., Chapter 7, pp. 159-193, IGI Global, 2016

[267]Zheng Xiao and Kenli Li*. Special issue: ICNC-FSKD2015. Journal of Intelligent and Fuzzy Systems 31(2): 689, 2016

[268]Kenli Li*, Mariano V., Matthew A. Parallel Computing in Fluids Computation. Computers and Fluids, 2015, 110

[269]Zheng Xiao, Zhao Tong, Kenli Li*, Xingwei Wang, andKeqin Li. Proceedings of the 11th IEEE International Conference on NaturalComputation, IEEE Part Number: CFP15CNC-CDR, ISBN: 978-1-4673-7678-5, 2015

[270]Guojun Wang, Albert Y. Zomaya, Gregorio MartínezPérez, and Kenli Li. Algorithms andArchitectures for Parallel Processing - 15th International Conference, ICA3PP2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part I. LectureNotes in Computer Science 9528, Springer 2015, ISBN 978-3-319-27118-7

[271]Guojun Wang, Albert Y. Zomaya, Gregorio MartínezPérez, and Kenli Li. Algorithms andArchitectures for Parallel Processing - 15th International Conference, ICA3PP2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part II. Lecture Notes inComputer Science 9529, Springer 2015, ISBN 978-3-319-27121-7

[272]Guojun Wang, Albert Y. Zomaya, Gregorio MartínezPérez, and Kenli Li. Algorithms and Architectures forParallel Processing - 15th International Conference, ICA3PP 2015, Zhangjiajie,China, November 18-20, 2015. Proceedings, Part III. Lecture Notes in ComputerScience 9530, Springer 2015, ISBN 978-3-319-27136-1

[273]Guojun Wang, Albert Y. Zomaya, Gregorio MartínezPérez, and Kenli Li. Algorithms andArchitectures for Parallel Processing - 15th International Conference, ICA3PP2015, Zhangjiajie, China, November 18-20, 2015. Proceedings, Part IV. LectureNotes in Computer Science 9531, Springer 2015, ISBN 978-3-319-27139-2

[274]Guojun Wang, Albert Y. Zomaya, Gregorio MartínezPérez, and Kenli Li. Algorithms andArchitectures for Parallel Processing - ICA3PP International Workshops andSymposiums, Zhangjiajie, China, November 18-20, 2015, Proceedings. Lecture Notes inComputer Science 9532, Springer 2015, ISBN 978-3-319-27160-6

[275]Zhuo Tang, Lingang Jiang,Ling Qi, Kenli Li*, and Keqin Li.Time-space scheduling in the MapReduce framework, in "Big Data Algorithms,Analytics, and Applications", Kuan-Ching Li, Hai Jiang, Laurence T. Yang,and Alfredo Cuzzocrea, eds., Chapter 7, pp. 121-138, Chapman and Hall/CRC,2014, 498 pages

[276]Kenli Li*, Zheng Xiao, Yan Wang, Jiayi Du, and Keqin Li. ParallelComputational Fluid Dynamics, Springer-Verlag, Berlin, 2014. (Collection of revised selected papersof 25th International Conference on Parallel Computational Fluid Dynamics(ParCFD 2013), Changsha, Hunan, China, May 20-24, 2013

[277]Yunquan Zhang, Kenli Li*, Zheng Xiao. High performance computation and its application in China. SpringerCommunications in Computer and Information Science, 2012, 11